{"id":80467,"date":"2025-06-17T16:20:29","date_gmt":"2025-06-17T14:20:29","guid":{"rendered":"https:\/\/www.kwrwater.nl\/?p=80467"},"modified":"2025-07-25T11:04:17","modified_gmt":"2025-07-25T09:04:17","slug":"failures-can-be-progress-too","status":"publish","type":"post","link":"https:\/\/www.kwrwater.nl\/en\/actueel\/failures-can-be-progress-too\/","title":{"rendered":"Contrary to expectations: trial and error"},"content":{"rendered":"
\n

When things don\u2019t go as you expect, there can be important lessons to learn. And so we shouldn\u2019t always see these stories as failures. They often produce benefits in other respects, such as eliminating possibilities, or making sure that similar errors aren\u2019t made in the future. During this Hydroinformatics Knowledge Exchange, colleagues shared stories about unexpected developments, the lessons learnt and how they handled them. A discussion addressed the similarities and applicability of lessons of this kind for drinking water utilities.<\/p>\n<\/div>\n

The Hydroinformatics knowledge exchange meetings are organised as part of Waterwijs, the joint research programme of Dutch and Flemish water utilities. One of the principal aims of these meetings is to exchange practical experience and knowledge during theme-based meetings.<\/p>\n

Intelligent failure<\/h2>\n

Geertje Pronk (KWR) kicked off the meeting with a review of different types of \u2018failure\u2019. Simple (you do something wrong), Complex (there is a combination of circumstances) and Intelligent (deliberate and meticulous experimentation). The Waterwijs \u2018Exploratory Research\u2019 programme<\/a> programme includes opportunities to explore topics where the outcome is uncertain. In the programme, a decision not <\/em>to go down a particular road on the basis of sound reasons is also a valuable outcome. Each exploratory study results in a report. Geertje emphasises that publishing negative results is very important so that multiple investments are not made in something that doesn\u2019t work.<\/p>\n

\"Verschillende

Image 1: Different types of failure.<\/p><\/div>\n

AI: start small and simple… on one of your biggest problems<\/h2>\n

Alex van der Helm (Waternet) took us through a number of lessons learnt in data science projects that many participants recognised. What works well is to move ahead in steps with the ultimate goal in mind. It is a good idea to start off by tackling a small but essential problem with AI rather going to work immediately on the complex whole. Another tip from Alex was to get the basics right first before implementing a data science project. For example, if there is no automatic data flow for a data-intensive project, that will take a lot of time and become an obstacle to successful implementation. So start working first on another prioritised project where the data flow is already in place because the main value of data science projects is often to be found in automatic continuous use. Another tip is to produce reusable data and code components with version management. It takes more time but, even if a project is not a success, you can use the components for subsequent projects. It is also a good idea to cast your net wide to learn about any plans inside the organisation so that a project will not be incompatible with future developments. Finally, Alex pointed out that colleagues all have their own expertise for the development of data science solutions. For example, a data scientist is not a machine learning (ML) engineer, and an ML engineer is not a product owner. You need all of these areas of expertise for successful implementation. Any failure to recognise that can be demotivating for those involved. That is a shame and it can be prevented.<\/p>\n

\"Journal<\/a>

Image 2: When things don’t go as expected, there is often valuable information to share.<\/p><\/div>\n

Gap between model and practice<\/h2>\n

Peter van Thienen (KWR) took participants through a number of projects relating to the numerical optimisation of drinking water and sensor networks using KWR\u2019s optimisation tool Gondwana. Things did not go as expected and we can learn from that. There was sometimes a gap between the model and practice. It was challenging to define the problem with end users. Other challenges were that the network models provided were not always complete, that there were additional circumstances that had not been taken into account, or that relevant data were difficult to retrieve or not formally recorded. A lot of data were needed from the drinking water utilities. Using the lessons learned from the initial projects, a more interactive working method was developed. The result was that Gondwana was eventually applied at and with nine drinking water utilities where the results of the optimisation calculations are now being applied in practice. Encouragingly, Gondwana has been nominated for the 2025 Waterwijs Implementation Award.<\/p>\n

\"Een

Image 3: Bridging the gap between theory and practice.<\/p><\/div>\n

A game of failure and success<\/h2>\n

It is important for organisations to deal well with the fact that a project can fail. Colleagues should certainly not feel that they should stop trying: ultimately, that is not a sound basis moving forward. Tessa Pronk (KWR) made this clear to the participants with a strategy game based on game theory. In the game, the participants worked in a start-up and they could make annual decisions about developing innovations or continuing to do their day-to-day work. It was interesting to see that the actions of colleagues as individuals affected all their outcomes and <\/em>the start-up.<\/p>\n

\u2018Failures\u2019 always have benefits<\/h2>\n

As always, the session ended with a discussion. It was pointed out that \u2018failure\u2019 is, in part, also a question of perspective. Has something just not worked out, or do you call it a failure? Or can you just change your goal, and does it work then? The participants thought it particularly important, in every failed project, to remember that you do move ahead: specific components are generally very successful. There is a learning process that you would otherwise miss. It is nevertheless important to shut down projects as early as possible if it turns out that something is really not possible. That can save a lot of expense. It was also suggested that a project can be successful in principle but that it can still fail if it does not \u2018land\u2019 with the right people.<\/p>\n

The meeting gave the participants an opportunity to think about the fact that not everything always goes as planned but that this can also be valuable, especially when an \u2018intelligent\u2019 failure is involved.<\/p>\n","protected":false},"excerpt":{"rendered":"

When things don\u2019t go as you expect, there can still be important lessons. So the word \u2018failure\u2019 shouldn\u2019t be used lightly: developments like this often pay off in other areas. You can, for example, eliminate a possibility or, in the future, avoid what went wrong this time. During the Hydroinformatics Knowledge Exchange on 6 May 2025, colleagues shared stories about unexpected developments, the lessons learnt and how they handled them. The discussion focused on the similarities and applicability of lessons of this kind for drinking water utilities.<\/p>\n","protected":false},"author":76,"featured_media":80638,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_relevanssi_hide_post":"","_relevanssi_hide_content":"","_relevanssi_pin_for_all":"","_relevanssi_pin_keywords":"","_relevanssi_unpin_keywords":"","_relevanssi_related_keywords":"","_relevanssi_related_include_ids":"","_relevanssi_related_exclude_ids":"","_relevanssi_related_no_append":"","_relevanssi_related_not_related":"","_relevanssi_related_posts":"","_relevanssi_noindex_reason":"","footnotes":""},"categories":[631],"tags":[],"class_list":["post-80467","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-blog-en","gtag-model-studies","gtag-hydrology"],"acf":[],"yoast_head":"\nContrary to expectations: trial and error - KWR<\/title>\n<meta name=\"description\" content=\"Often, \u201cfailures\u201d pay off on another front: you can eliminate an option, or avoid in the future what went wrong this time.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.kwrwater.nl\/en\/actueel\/failures-can-be-progress-too\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Contrary to expectations: trial and error - 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